Pillar

Autonomous SOC — From Playbooks to Decision Systems

Find out why.

Pillar

Autonomous SOC — From Playbooks to Decision Systems

Find out why.

Autonomous SOC — From Playbooks to Decision Systems

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Autonomous SOC Platform

Actually autonomous

SIRP OmniSense™ delivers a governed Autonomous SOC that continuously detects, decides, and executes response actions within defined policy boundaries. It also thinks, learns and acts at machine speed, without the noise or the burnout.

Learn more about Autonomous SOC

The AI-native Autonomous SOC platform

Not just smarter.

Truly autonomous.

Not just smarter.

Truly autonomous.

OmniSense Core

The foundation: a living mesh of autonomous security agents and the orchestrator that binds them. It’s where reflex, reasoning, and execution converge.

OmniSec LLM

A security-trained large language model built to understand, contextualize, and communicate threats with analyst-level clarity, without the noise.

OmniMap + RAG

A dynamic memory and retrieval system. It connects every incident, asset, and threat intel source into a contextual brain that never forgets.

OmniFlex

The reflex engine. Powered by reinforcement learning, it adapts response strategies in real time, learning from every action and continuously optimizing.

OmniCollective

Collective intelligence at scale. A federated learning layer that allows each SOC to benefit from global patterns without ever exposing sensitive data.

OmniSense Core

OmniSec LLM

OmniMap + RAG

OmniFlex

OmniCollective

OmniSense Core

The foundation: a living mesh of autonomous security agents and the orchestrator that binds them. It’s where reflex, reasoning, and execution converge.

OmniSec LLM

A security-trained large language model built to understand, contextualize, and communicate threats with analyst-level clarity, without the noise.

Find out why.

OmniMap + RAG

A dynamic memory and retrieval system. It connects every incident, asset, and threat intel source into a contextual brain that never forgets.

Find out why.

OmniFlex

The reflex engine. Powered by reinforcement learning, it adapts response strategies in real time, learning from every action and continuously optimizing.

Find out why.

OmniCollective

Collective intelligence at scale. A federated learning layer that allows each SOC to benefit from global patterns without ever exposing sensitive data.

Find out why.

OmniSense Core

OmniSec LLM

OmniMap + RAG

OmniFlex

OmniCollective

OmniSense Core

The foundation: a living mesh of autonomous security agents and the orchestrator that binds them. It’s where reflex, reasoning, and execution converge.

OmniSec LLM

A security-trained large language model built to understand, contextualize, and communicate threats with analyst-level clarity, without the noise.

Find out why.

OmniMap + RAG

A dynamic memory and retrieval system. It connects every incident, asset, and threat intel source into a contextual brain that never forgets.

Find out why.

OmniFlex

The reflex engine. Powered by reinforcement learning, it adapts response strategies in real time, learning from every action and continuously optimizing.

Find out why.

OmniCollective

Collective intelligence at scale. A federated learning layer that allows each SOC to benefit from global patterns without ever exposing sensitive data.

Find out why.

OmniSense Core

OmniSec LLM

OmniMap + RAG

OmniFlex

OmniCollective

OmniSense Core

The foundation: a living mesh of autonomous security agents and the orchestrator that binds them. It’s where reflex, reasoning, and execution converge.

OmniSec LLM

A security-trained large language model built to understand, contextualize, and communicate threats with analyst-level clarity, without the noise.

Find out why.

OmniMap + RAG

A dynamic memory and retrieval system. It connects every incident, asset, and threat intel source into a contextual brain that never forgets.

Find out why.

OmniFlex

The reflex engine. Powered by reinforcement learning, it adapts response strategies in real time, learning from every action and continuously optimizing.

Find out why.

OmniCollective

Collective intelligence at scale. A federated learning layer that allows each SOC to benefit from global patterns without ever exposing sensitive data.

Find out why.

OmniSense Core

OmniSec LLM

OmniMap + RAG

OmniFlex

OmniCollective

OmniSense Core

The foundation: a living mesh of autonomous security agents and the orchestrator that binds them. It’s where reflex, reasoning, and execution converge.

OmniSec LLM

A security-trained large language model built to understand, contextualize, and communicate threats with analyst-level clarity, without the noise.

Find out why.

OmniMap + RAG

A dynamic memory and retrieval system. It connects every incident, asset, and threat intel source into a contextual brain that never forgets.

Find out why.

OmniFlex

The reflex engine. Powered by reinforcement learning, it adapts response strategies in real time, learning from every action and continuously optimizing.

Find out why.

OmniCollective

Collective intelligence at scale. A federated learning layer that allows each SOC to benefit from global patterns without ever exposing sensitive data.

Find out why.

OmniSense Core

OmniSec LLM

OmniMap + RAG

OmniFlex

OmniCollective

Agents in the mesh

OmniSense’s autonomous SOC agents in the mesh accelerate alert containment, optimizing security operations with faster incident analysis, remediation, and response.

Enrichment Agent
The Enrichment Agent gathers external threat intelligence, asset data, and historical context to add depth to incoming alerts. It ensures that each alert is enriched with relevant details for better analysis and decision-making.
Classification Agent
The Classification Agent categorizes incoming alerts based on type (e.g., phishing, malware, insider threat). This helps in efficient triaging and routing of the alerts for appropriate action.
Analysis Agent
The Analysis Agent analyzes alerts to identify patterns, behaviors, and trends. It processes the alert data and highlights critical information for further investigation, aiding in quicker threat detection.
Suggest Actions Agent
The Suggest Actions Agent recommends potential response actions based on the alert’s context and severity. It assists analysts by providing next steps, ensuring timely and appropriate responses to threats.
Suggest Playbooks Agent
The Suggest Playbooks Agent proposes relevant playbooks to follow based on the nature of the incident. It helps in automating the response process by aligning actions with pre-configured, best-practice response procedures.
Remediation Agent
The Remediation Agent executes predefined response actions, such as isolating compromised assets or blocking malicious users. It helps automate containment and remediation, ensuring faster incident resolution.
Assign Analyst Agent
The Assign Analyst Agent automatically assigns alerts to available analysts based on their expertise and workload. This optimizes resource allocation, ensuring that the right person handles the right incident.
Header Analysis Agent
Analysis email headers to detect spoofing, relay abuse, sender mismatches and anomalous routing, enhancing phishing detection, sender trust scoring and automated triage.
Pre Processor Agent
Processes and normalizes raw alerts by extracting key entities and context for downstream triage and enrichment.

See Autonomous SOC in Action

Watch how SIRP ingests a live alert, constructs relational context, computes risk, enforces policy boundaries, and executes containment actions autonomously — without manual routing or workflow delays.

This is not playbook automation.

This is governed decision execution.

Autonomous SOC Ecosystem

Every tool. One intelligence.

Connect 200+ tools into a single AI-native Autonomous SOC brain, or go further. With SIRP’s AI assisted code builder, you can create your own integrations on the fly. Your SOC doesn’t bend to us, OmniSense adapts to your stack.